摘要
将基于傅立叶变换的相位相关算法应用到条形码的识别中,是一种应用很广泛的图像匹配方法。通过用Matlabe仿真软件对算法进行分析仿真,证明本文提出的算法具有实时性好、性能高等优点。同时为了提高匹配精度和减少计算量,对旋转不变相位相关算法进行了优化和改进。
In this paper, phase correlation algorithm based on FFT is applied to the bar code identification. It is a widely used method of image registration. It can increase speed of items recognition and robustness of the algorithm. There is the rotation - invariant phase correlation algorithm which combines polar coordinate transform with phase correlation. They can recognize the bar code which is partly destroyed or inversed in the process of moving. The paper provides the analysis and simulation for the algorithm using Matlab, it is proven that the algorithm has the advantages of good real - time and high performance. It. improves the matching precision and reduces the calculation by optimizing the rotation- invariant phase correlation.
出处
《河北工程大学学报（自然科学版）》
CAS
2008年第4期89-91,共3页
Journal of Hebei University of Engineering:Natural Science Edition
关键词
物品识别
傅立叶变换
相位相关
图像匹配
items recognition
Fourier transform
phase correlation
image registration
